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Energy Management of Sowing Unit for Extended-Range Electric Tractor Based on Improved CD-CS Fuzzy Rules

Author

Listed:
  • Zhengkai Wu

    (College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding 071001, China
    Hebei Intelligent Agricultural Equipment Technology Innovation Center, Baoding 071001, China)

  • Jiazhong Wang

    (College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding 071001, China
    Hebei Intelligent Agricultural Equipment Technology Innovation Center, Baoding 071001, China)

  • Yazhou Xing

    (College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding 071001, China
    Hebei Intelligent Agricultural Equipment Technology Innovation Center, Baoding 071001, China)

  • Shanshan Li

    (College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding 071001, China
    Hebei Intelligent Agricultural Equipment Technology Innovation Center, Baoding 071001, China)

  • Jinggang Yi

    (College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding 071001, China
    Hebei Intelligent Agricultural Equipment Technology Innovation Center, Baoding 071001, China)

  • Chunming Zhao

    (Tianjin Yidingfeng Power Technology Co., Ltd., Tianjin 300380, China)

Abstract

In order to ensure the continuity and endurance mileage requirements during sowing operations, it is necessary to establish accurate modeling for the working condition of the electric tractor sowing unit by adopting a reasonable energy management strategy and realizing accurate energy prediction. The existing electric tractor sowing unit battery energy management strategy is not optimal since it is mostly based on extensive rules. In this paper, according to the requirements of the sowing conditions, a precise model of electric energy consumption in the sowing cycle was established and an energy management strategy of sowing unit of extended-range electric tractor with power CD-CS was proposed. Fuzzy control rules of the dynamic SOC correction factor were established in the battery maintenance stage, and the NSGA-II algorithm was used to optimize the fuzzy control rules to optimize the battery charging and discharging efficiency. A hardware-in-the-loop simulation test platform was built, and the proposed CD-CS strategy was compared with the fuzzy improvement strategy. The simulation results show that the proposed fuzzy improvement strategy extended the battery life of the power consumption stage by 2131.9 s, which is a significant improvement. The field practical results showed that the SOC decreased by 7.21% and the simulation by 4.94% in terms of power consumption in a cycle. The power consumption variance was within a reasonable range, which further verifies the feasibility of the strategy.

Suggested Citation

  • Zhengkai Wu & Jiazhong Wang & Yazhou Xing & Shanshan Li & Jinggang Yi & Chunming Zhao, 2023. "Energy Management of Sowing Unit for Extended-Range Electric Tractor Based on Improved CD-CS Fuzzy Rules," Agriculture, MDPI, vol. 13(7), pages 1-18, June.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:7:p:1303-:d:1179732
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    References listed on IDEAS

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    1. Meng Yang & Xiaoxu Sun & Xiaoting Deng & Zhixiong Lu & Tao Wang, 2023. "Extrapolation of Tractor Traction Resistance Load Spectrum and Compilation of Loading Spectrum Based on Optimal Threshold Selection Using a Genetic Algorithm," Agriculture, MDPI, vol. 13(6), pages 1-20, May.
    2. Zhang, Sheng-li & Wen, Chang-kai & Ren, Wen & Luo, Zhen-hao & Xie, Bin & Zhu, Zhong-xiang & Chen, Zhong-ju, 2023. "A joint control method considering travel speed and slip for reducing energy consumption of rear wheel independent drive electric tractor in ploughing," Energy, Elsevier, vol. 263(PD).
    3. Shen, Peihong & Zhao, Zhiguo & Zhan, Xiaowen & Li, Jingwei & Guo, Qiuyi, 2018. "Optimal energy management strategy for a plug-in hybrid electric commercial vehicle based on velocity prediction," Energy, Elsevier, vol. 155(C), pages 838-852.
    4. Zhen Zhu & Yanpeng Yang & Dongqing Wang & Yingfeng Cai & Longhui Lai, 2022. "Energy Saving Performance of Agricultural Tractor Equipped with Mechanic-Electronic-Hydraulic Powertrain System," Agriculture, MDPI, vol. 12(3), pages 1-22, March.
    5. Yao Yu & Shuaihua Hao & Songbao Guo & Zhong Tang & Shuren Chen, 2022. "Motor Torque Distribution Strategy for Different Tillage Modes of Agricultural Electric Tractors," Agriculture, MDPI, vol. 12(9), pages 1-22, September.
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    Cited by:

    1. Zhenhao Luo & Jihang Wang & Jing Wu & Shengli Zhang & Zhongju Chen & Bin Xie, 2023. "Research on a Hydraulic Cylinder Pressure Control Method for Efficient Traction Operation in Electro-Hydraulic Hitch System of Electric Tractors," Agriculture, MDPI, vol. 13(8), pages 1-18, August.

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